Demographics details for Everest, KS vs Nicholson, GA
Population Overview
Compare main population characteristics in Everest, KS vs Nicholson, GA.
| Data | Everest | Nicholson |
|---|---|---|
| Population | 258 | 1,850 |
| Median Age | 34.5 years | 34.2 years |
| Median Income | $44,375 | $50,000 |
| Married Families | 50.0% | 39.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Everest vs Nicholson
- The population in Nicholson is higher at 1,850, compared to 258 in Everest.
- Residents in Everest have a higher median age of 34.5 years compared to 34.2 years in Nicholson.
- Nicholson has a higher median income of $50,000, compared to $44,375 in Everest.
- A higher percentage of married families is found in Everest at 50.0% compared to 39.0% in Nicholson.
- Everest has a higher poverty level at 11% compared to 10% in Nicholson.
- Nicholson has a higher unemployment rate at 5.0% compared to 3.5% in Everest.
Demographics
Demographics Everest vs Nicholson provide insight into the diversity of the communities to compare.
| Demographic | Everest | Nicholson |
|---|---|---|
| Black | 2 | 1 |
| White | 90 | 63 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 23 |
| Two or More Races | 6 | 13 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Everest vs Nicholson
- A higher percentage of Black residents are in Everest at 2% compared to 1% in Nicholson.
- Everest has a higher percentage of White residents at 90% compared to 63% in Nicholson.
- Both Everest and Nicholson have the same percentage of Asian residents at 0%.
- Nicholson has a higher percentage of Hispanic residents at 23%, compared to 0% in Everest.
- The percentage of residents identifying as two or more races is higher in Nicholson at 13%, compared to 6% in Everest.
- A greater percentage of American Indian residents live in Everest at 2% compared to 0% in Nicholson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Everest | Nicholson |
|---|---|---|
| Mental Health Not Good | 17.3% | 17.4% |
| Physical Health Not Good | 11.2% | 12.5% |
| Depression | 22.4% | 23.9% |
| Smoking | 20.4% | 18.7% |
| Binge Drinking | 19.1% | 17.2% |
| Obesity | 37.8% | 32.1% |
| Disability Percentage | 50.0% | 20.0% |
Health Statistics Comparison: Everest vs Nicholson
- In Nicholson, a higher percentage report poor mental health at 17.4% compared to 17.3% in Everest.
- Higher depression rates are seen in Nicholson at 23.9% versus 22.4% in Everest.
- Smoking is more prevalent in Everest at 20.4% compared to 18.7% in Nicholson.
- Binge drinking is more common in Everest at 19.1% compared to 17.2% in Nicholson.
- Obesity rates are higher in Everest at 37.8% compared to 32.1% in Nicholson.
- Disability percentages are higher in Everest at 50.0% compared to 20.0% in Nicholson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Everest | Nicholson |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.8% (33) |
| High School Diploma | 26.4% (68) | 15.2% (282) |
| Less than High School | 17.8% (46) | 34.1% (630) |
| Bachelor's Degree and Higher | 36.8% (95) | 8.6% (160) |
Education Levels Comparison: Everest vs Nicholson
- In Nicholson, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in Everest.
- A higher percentage of residents in Everest hold a high school diploma at 26.4% compared to 15.2% in Nicholson.
- The percentage of residents with less than a high school education is higher in Nicholson at 34.1%, compared to 17.8% in Everest.
- A higher percentage of residents in Everest hold a bachelor's degree or higher at 36.8% compared to 8.6% in Nicholson.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.